Fault detection method of sun gear based on windowed synchronous average in angle domain
Wang zhi-le1, Guo Yu1, Cao Yongli 2, Wu Xing 1
1.Key Lab. of Vib. & Noise under Ministry of Education of Yunnan Province, Kunming University of Science and Technology, Kunming 650500, China
2.Kunming Yunnei Power Co., Ltd. Kunming 650244, China
Abstract:Planetary gearboxes are widely used in wind turbines and other large machinery. The vibration feature extraction is particularly important in fault diagnosis. Due to non-stationary,modulation,and complex transmission path with time-varying characteristics, the conventional synchronous averaging (SA) for fixed-shaft gearbox faults detection is not directly applicable to planetary gearboxes. Based on the original windowed synchronous averaging in time domain, the windowed synchronous averaging in the angle domain suit for the time-varying transmission paths and varying-speed working conditions of planetary gearboxes will be studied in this paper. It can be employed to extract the desired signal and decrease the effect of transmission paths. In the proposed scheme, the windowed signal in time domain is sampled at constant angle increments according to computed order tracking (COT) at first, which converts the non-stationary signal in the time-domain into the stationary one in the angle domain. Then, the angle-domain signal is processed by signal synchronous average (SA). Tests were conducted to verify the validity of the proposed method.
王志乐1,郭瑜1, 曹永立2,伍星1. 基于角域加窗同步平均的太阳轮故障检测方法[J]. 振动与冲击, 2017, 36(13): 74-79.
Wang zhi-le1, Guo Yu1, Cao Yongli 2, Wu Xing 1. Fault detection method of sun gear based on windowed synchronous average in angle domain. JOURNAL OF VIBRATION AND SHOCK, 2017, 36(13): 74-79.
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